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Neural circuits provide insights into reward and aversion

Maladaptive changes in the neural circuits associated with reward and aversion result in some common symptoms, such as drug addiction, anxiety, and depression. Historically, the study of these circuits has been hampered by technical limitations. In recent years, however, much progress has been made...

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Detalles Bibliográficos
Autor principal: Chen, Wanqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9650032/
https://www.ncbi.nlm.nih.gov/pubmed/36389177
http://dx.doi.org/10.3389/fncir.2022.1002485
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author Chen, Wanqi
author_facet Chen, Wanqi
author_sort Chen, Wanqi
collection PubMed
description Maladaptive changes in the neural circuits associated with reward and aversion result in some common symptoms, such as drug addiction, anxiety, and depression. Historically, the study of these circuits has been hampered by technical limitations. In recent years, however, much progress has been made in understanding the neural mechanisms of reward and aversion owing to the development of technologies such as cell type-specific electrophysiology, neuronal tracing, and behavioral manipulation based on optogenetics. The aim of this paper is to summarize the latest findings on the mechanisms of the neural circuits associated with reward and aversion in a review of previous studies with a focus on the ventral tegmental area (VTA), nucleus accumbens (NAc), and basal forebrain (BF). These findings may inform efforts to prevent and treat mental illnesses associated with dysfunctions of the brain’s reward and aversion system.
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spelling pubmed-96500322022-11-15 Neural circuits provide insights into reward and aversion Chen, Wanqi Front Neural Circuits Neural Circuits Maladaptive changes in the neural circuits associated with reward and aversion result in some common symptoms, such as drug addiction, anxiety, and depression. Historically, the study of these circuits has been hampered by technical limitations. In recent years, however, much progress has been made in understanding the neural mechanisms of reward and aversion owing to the development of technologies such as cell type-specific electrophysiology, neuronal tracing, and behavioral manipulation based on optogenetics. The aim of this paper is to summarize the latest findings on the mechanisms of the neural circuits associated with reward and aversion in a review of previous studies with a focus on the ventral tegmental area (VTA), nucleus accumbens (NAc), and basal forebrain (BF). These findings may inform efforts to prevent and treat mental illnesses associated with dysfunctions of the brain’s reward and aversion system. Frontiers Media S.A. 2022-10-28 /pmc/articles/PMC9650032/ /pubmed/36389177 http://dx.doi.org/10.3389/fncir.2022.1002485 Text en Copyright © 2022 Chen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neural Circuits
Chen, Wanqi
Neural circuits provide insights into reward and aversion
title Neural circuits provide insights into reward and aversion
title_full Neural circuits provide insights into reward and aversion
title_fullStr Neural circuits provide insights into reward and aversion
title_full_unstemmed Neural circuits provide insights into reward and aversion
title_short Neural circuits provide insights into reward and aversion
title_sort neural circuits provide insights into reward and aversion
topic Neural Circuits
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9650032/
https://www.ncbi.nlm.nih.gov/pubmed/36389177
http://dx.doi.org/10.3389/fncir.2022.1002485
work_keys_str_mv AT chenwanqi neuralcircuitsprovideinsightsintorewardandaversion